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Journal of Epidemiology and Community Health logoLink to Journal of Epidemiology and Community Health
. 2007 Sep;61(9):824–833. doi: 10.1136/jech.2006.051292

A systematic review of the association between circulating concentrations of C reactive protein and cancer

Katriina Heikkilä 1,2, Shah Ebrahim 1,2, Debbie A Lawlor 1,2
PMCID: PMC2703800  PMID: 17699539

Abstract

The objective of this study was to review and summarise the published evidence for an association between circulating concentrations of C reactive protein (CRP) and cancer through a systematic review. 90 discrete studies were identified. 81 (90%) were prevalent case–control or cross‐sectional studies, and only 9 studies had a prospective design. In most prevalent studies, CRP concentrations were found to be higher in patients with cancer than in healthy controls or controls with benign conditions. Of the nine large prospective studies identified in this review, four reported no relationship between circulating CRP levels and breast, prostate or colorectal cancers, and five studies found that CRP was associated with colorectal or lung cancers. Most of the studies evaluating CRP as a diagnostic marker of cancer did not present relevant statistical analyses. Furthermore, any association reported in the prevalent studies might reflect reverse causation, survival bias or confounding. The prospective studies provided no strong evidence for a causal role of CRP in cancer. Instead of further prevalent studies, more large prospective studies and CRP gene–cancer association studies would be valuable in investigating the role of CRP in cancer.


C reactive protein (CRP) is a marker of acute‐phase inflammatory response. It is produced mainly by hepatocytes, and its production is regulated by interleukin 6 (IL6). Both genetic and environmental factors influence an individual's basal CRP concentration,1,2 and thus circulating CRP levels in apparently healthy people can vary from 0.1 to 10 mg/l.1 Increased CRP concentrations have been reported in many diseases, including cardiovascular diseases, type 2 diabetes, arthritis and many types of cancers.1,3,4,5,6,7

Several possible mechanisms have been proposed for the relationship between CRP and cancer. First, tumour growth can cause tissue inflammation and hence increase CRP levels.8,9 Second, CRP could be an indicator of an immune response to tumour antigens.10,11,12 Third, there is evidence that cancer cells can increase the production of inflammatory proteins, which could explain the high CRP concentrations in patients with cancer. Some cancerous cells have been shown to express CRP2,6,13 and cancer cell lines have been shown to secrete IL6 and IL8, which in turn induce the production of CRP.14,15 These mechanisms imply that increased CRP is a response to the neoplastic process and that CRP concentrations could thus provide a marker for identifying people with cancer at an early stage when treatment might be more effective. Finally, chronic inflammation, of which CRP is an important marker, might have an aetiological role in cancer. It has been suggested that inflammation creates a tissue microenvironment where the reactive oxygen and nitrogen species released by inflammatory cells could cause potentially malignant DNA alterations,16 and that some inflammatory cytokines and proteins in chronic inflammation promote tumour growth.17,18

The prognostic use of CRP and other inflammatory markers has been demonstrated in many forms of cancer,7 but the epidemiological evidence for a diagnostic or an aetiological role of circulating CRP in cancer has been inconsistent to date. Given the large and increasing body of research in this area, with different claims about the role of CRP in malignancy, we undertook a systematic review of the literature in order to summarise the currently available evidence for the role of circulating CRP in the diagnosis and aetiology of cancer, to assess the quality of studies and to discuss where further research resources in this area would be best placed.

Materials and methods

Electronic databases Medline, Embase and the Cochrane Library were searched systematically on 1 July 2006. The Web of Science database was searched for publications citing the articles identified from previous searches, and publications cited in the reviewed articles were included where relevant. Table 1 details the search terms used. Studies of any type of cancer in humans, written in any language and comparing patients with cancer with apparently healthy people or with people with benign conditions were included. Where more than one paper had been published using data from the same study, all publications were reviewed, but where duplication of the CRP data was apparent, the latest or the most conclusively reported study was included in the summary of studies. Any study including results of the relationship between CRP and any type of cancer was included in the review, irrespective of the primary focus of the study. As our aim in this review was to assess the role of circulating CRP in the diagnosis or aetiology of cancer, we did not specifically search for studies investigating CRP as a prognostic marker of cancer. However, as we extensively searched for studies comparing CRP concentrations in patients with cancer and in people free of malignant diseases, we found studies evaluating CRP as a prognostic marker that also included a control group free of malignant diseases. These studies were included in the review if they presented relevant results.

Table 1 Search terms used in this study.

MeSH terms Text words
Neoplasms OR cancer$ OR malign$ OR
Neoplasms, second primary tumour$ OR tumor$
AND
C‐reactive protein C‐reactive protein OR CRP
AND
epidemiologic studies/ case control$ OR
(cohort adj1 (study or studies)) OR
cohort analy$ OR
(follow up adj1 (study or studies)) OR
(observational adj1 (study or studies)) OR
longitudinal. tw. retrospective. OR
cross sectional. tw. associat$ OR
comparative study/

If the title or abstract of the article seemed relevant, the abstract and, where necessary, the full text were reviewed to decide whether it should be included. Two reviewers (KH and DAL) independently extracted data from 50% of the publications using a standard data extraction sheet, and as the reviewers agreed on the extracted information over 95% of the time, KH extracted the data from the remaining papers and any uncertain issues were addressed by further joint inspection of the papers and discussion (with DAL). As the hypotheses, cancer types and designs of the identified studies were markedly different, it was deemed inappropriate to pool the results using meta‐analysis.

Results

The Medline search produced 1839 hits and the Embase search produced 1861 hits. No relevant publications were identified in the Cochrane Library. A total of 103 publications that fulfilled our inclusion criteria were identified; 40 publications did not contain relevant data and were excluded (fig 1). There were 13 duplicate publications among studies investigating CRP and other biochemical markers in patients with multiple myeloma, colorectal and lung cancer: of the 9 publications by the same group of investigators, CRP data from the same cancer cases seem to have been included in 7 publications19,20,21,22,23,24,25 and the controls seem to have been the same in 5 of these.19,20,21,23,25 Three publications on advanced lung cancer26,27,28 and two publications on newly diagnosed lung cancer,29,30 two on colorectal cancer,31,32 two on multiple myeloma33,34 and two on prostate cancer35,36 also included the same participants. One publication drew together two sets of results previously published by the same authors37 and was not treated as a discrete study. After excluding the duplicate publications, we were left with 90 discrete studies. Despite our efforts, we were unable to obtain a full‐text copy of a study of bronchial carcinoma38 and were unable to translate a Polish article on various cancers in children,39 but we included the data that we were able to extract from the abstracts and tables only. Summaries of all the published papers are presented in two supplementary web tables (supplementary tables 1 and 2 are available at http://jech.bmj.com/supplemental). Examining the association between CRP and cancer was the primary aim in 54 discrete studies.8,9,28,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89 We also identified 36 studies in which CRP was not the main focus, but which contained relevant data.10,12,23,29,32,34,36,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117

graphic file with name ch51292.f1.jpg

Figure 1 C reactive protein (CRP) systematic search results.

Table 2 Number of discrete studies by type of cancer.

Type of cancer Studies with CRP as the main aim, n (%) Studies with other main aim, n (%)
Lung cancer 5 (9.3) 6 (16.7)
Colorectal cancer 6 (11.1) 5 (13.9)
Multiple myeloma 3 (5.6) 4 (11.1)
Gastrointestinal cancer 4 (7.4) 2 (5.6)
Ovarian cancer 2 (3.7) 2 (5.6)
Prostate cancer 3 (5.6) 2 (5.6)
Pancreatic cancer 2 (3.7) 2 (5.6)
Hepatocellular carcinoma 4 (7.4) —
Lymphatic cancers 3 (5.6) 1 (2.8)
Breast cancer 2 (3.7) 1 (2.8)
Cervical cancer 2 (3.7) —
Testicular cancer 1 (1.9) 1 (2.8)
Head and neck squamous cell carcinoma — 2 (5.6)
Glioma 1 (1.9) —
Leukaemia 1 (1.9) —
Bronchial carcinoma 1 (1.9) —
Kaposi's sarcoma — 1 (2.8)
Brain cancer — 1 (2.8)
Renal cell carcinoma — 1 (2.8)
Oesophageal cancer 1 (1.9) –—
Biliary tract 1 (1.9) —
Various cancers grouped together in analysis 9 (16.7) 3 (8.3)
Various cancers analysed as separate types 3 (5.6) 2 (5.6)
Total 54 (100) 36 (100)

CRP, C reactive protein.

Table 2 lists the reviewed studies that examined various forms of cancer. The most commonly studied cancers in relation to circulating CRP were colorectal cancer, various types of lung cancer, multiple myeloma and gastrointestinal cancer. There were 81 studies of prevalent cancer cases and 9 prospective studies with incident cancer cases.42,45,59,64,66,76,79,80,89 The studies comprised 78 case–control studies, 5 of which were nested in prospective cohorts and 2 in randomised controlled trials; 2 cohort studies, 1 of which was nested within a randomised controlled trial; 5 cross‐sectional studies; and 5 interventional before‐and‐after studies (supplementary tables 1 and 2).

Limitations of studies

Design and selection of controls

As table 3 shows, most studies had a prevalent design and their results could not determine the temporal sequence of any observed association between CRP and cancer, and could be subject to survival bias, as cases of rapidly fatal cancer would be excluded. Only nine prospective studies investigated the possible aetiological role of circulating CRP in cancer.42,45,59,64,66,76,79,80,89 Most studies had important limitations in the selection of participants. In all, 41 studies did not contain an adequate description of how the participants had been selected.22,24,32,40,44,47,48,50,51,53,54,62,65,67,68,69,71,74,75,77,82,85,86,87,93,95,96,97,100,102,103,104,106,108,109,110,114,115,116,117,118 As only abstracts were available for two studies, we could not ascertain any details of the recruitment of controls for these.38,39 Of the 78 case–control studies included in our review, 12 had selected controls from hospital staff, soldiers, or blood or organ donors, who might have been healthier than the general population from which the cancer cases were obtained.8,23,27,28,40,46,52,60,78,88,90,113 In all, 22 case‐control studies,9,12,29,43,51,57,58,63,70,78,81,83,88,91,92,94,98,99,101,105,107,112 2 before‐and‐after studies49,73 and 4 cross‐sectional studies55,56,72,84 had recruited controls and participants free from cancer from hospital inpatients or outpatients who were likely to be less healthy than the general population. Only 10 case–control studies had used community controls,36,42,45,59,61,66,76,79,80,107 and 2 cohort studies64,89 and 1 cross‐sectional study34 had recruited community‐living participants.

Table 3 Summary of results by study design.
Study design Number (%) of studies (n = 90) Number (% of this design) reporting higher CRP in cases than the comparison group
Prevalent case–control/cross sectional 81 (90.0) 55 (67.9)
Included healthy comparison group 55 (61.1)* 49 (89.1)
Included comparison group with any benign disease 43 (47.8) 19 (44.2)
Prospective 9 (10.0) 5 (55.6)
Included healthy comparison group 9 (10.0) 5 (55.6)
Included comparison group with any benign disease 0 (0) 0 (0)

CRP, C reactive protein.

*The number of studies cited here does not add up to the total number of prevalent studies, as some studies included several comparison groups.

Adjustment for confounders

Few studies included adjustment for known potential confounders of the relationship between CRP and cancer, such as smoking,119,120 body mass index121 or socioeconomic position.119 It would be unreasonable to expect the researchers to adjust for confounders in studies in which the relationship between CRP and cancer is not the main focus, but in the studies in which CRP is the primary aim, lack of adjustment is a major limitation. Of the 54 studies in which CRP was the main focus, 38 had adjusted for no confounders at all,8,28,33,43,44,46,47,48,49,50,51,52,53,54,55,56,57,58,60,61,62,63,65,67,68,69,70,72,73,74,78,81,82,83,84,86,87,88 1 had adjusted for age only 9 and 2 for age and sex only.75,77 Only 11 studies included adjustment for age and sex as well as indicators of body mass, study site, race or other possible confounders.40,42,45,59,64,66,71,76,79,80,89 Adjustment for any potential confounders was not clear from the abstracts of the two studies that we were unable to review in full.38,39

Circulating CRP in the diagnosis and aetiology of cancer

Most of the reviewed studies had compared CRP concentrations in patients with cancer and apparently healthy controls, and 49 prevalent studies8,10,23,28,29,32,38,39,40,44,46,49,50,51,53,65,68,71,73,74,75,77,78,81,82,85,88,90,94,95,96,97,99,100,103,104,106,107,108,109,110,111,112,113,114,115,116,117,118 reported higher CRP concentrations in patients with cancer (table 3).

Forty‐three prevalent studies compared CRP concentrations between patients with cancer and controls with other benign diseases (table 3). This is a useful design for determining whether increased CRP concentrations are specific to cancer, for specificity would provide evidence for their possible diagnostic or aetiological role.

Of the 34 studies comparing patients with cancer with controls with benign diseases of the same organs or organ groups,8,9,12,34,43,47,48,51,52,55,56,57,58,60,61,62,67,69,70,72,81,83,84,86,88,90,92,93,96,98,101,104,105,112 14 (42%) reported higher CRP concentrations in patients with cancers of the lung,56,90 pancreas,8,98 breast,12,81 ovary,83,88 oesophagus,62 liver,60 the biliary tract,48 stomach43 and multiple myeloma.34,61 However, the results of one of the breast cancer studies might have been influenced by the inclusion of healthy participants as well as those with benign diseases in the control group,12 and the analysis in the study on ovarian cancer was based on data from a small subgroup for which serum samples were available.83 In addition, three studies found higher CRP concentrations only in patients with advanced, but not with newly diagnosed, breast, gastrointestinal tract and prostate cancers when compared with controls with benign diseases.9,69,105 Several studies reported contrasting findings: six studies of multiple myeloma and cervical, prostate or lung cancers reported no difference in CRP concentrations between patients with cancer and controls with benign diseases of these organs,51,52,72,92,93,104 and a further four studies reported higher CRP concentrations in patients with benign prostate, lung, ovarian and myelogenous conditions than in patients with cancer.55,57,58,88 In one study, no sufficient data was presented for the comparison between pancreatic cancer and benign pancreatic disease.112

Of the nine studies including a control group of people with non‐cancerous conditions of different organs,10,54,78,87,101,102,106,113,118 five studies only compared patients with malignant and benign diseases with healthy controls and reported no formal statistical comparison of CRP concentrations in patients with cancer and in people with other diseases. One study found higher CRP concentrations in patients with cancer‐related thrombocytosis than in those with essential thrombocytosis10 and one study found increased CRP in advanced gastrointestinal cancer in comparison with controls with hernia,43 whereas two studies reported higher CRP concentrations in people with neurological conditions than in those with malignant brain tumours101 and peritoneal sepsis.87 In all, 19 studies (44% of all the studies including a control group with any benign disease) found that patients with cancer had higher CRP concentrations than participants with other non‐malignant diseases (table 3).

Twenty‐seven studies defined their aim as examining the value of serum CRP in the diagnosis of cancer, but only five of them presented analyses of the sensitivity and specificity of increased CRP concentrations in discriminating cancer cases from controls. In a study of hepatocellular carcinoma comparing cancer cases with patients with other liver conditions, sensitivity, specificity and diagnostic accuracy of CRP using a threshold of 5 mg/l were 78.9%, 56.0% and 34.9%, respectively.60 Another study comparing patients with hepatocellular carcinoma with healthy controls with a cut‐off value of 12 μg/ml reported 82.4% sensitivity and 82.0% specificity.70 Results from two other studies suggested that CRP is useful in distinguishing patients with pancreatic cancer from healthy controls112 and people with malignant pleural effusions from those with non‐malignant effusions,56 but not in differentiating between malignant and non‐malignant ascites.91 A study of testicular cancer reported CRP to be highly sensitive and specific in differentiating epididymitis (in which the CRP concentrations were higher than in the malignant disease) from cancer.57 Thus, the results from the studies that presented appropriate tests of diagnostic accuracy did not provide strong evidence to support the usefulness of increased CRP in early diagnosis of cancer. However, most studies claiming to examine the role of CRP in the diagnosis of cancer did not undertake appropriate analyses (sensitivity, specificity, receiver operator characteristics or other tests of calibration or discrimination) to determine the usefulness of CRP as a diagnostic tool in cancer.

As the only observational study design that assures the temporal relationship between exposure and outcome, prospective studies provide the best level of evidence for any potential role of circulating CRP in the diagnosis or aetiology of cancer. Table 4 summarises the nine prospective studies identified in this review. The findings in these studies were conflicting and provided no strong evidence of circulating CRP being causally related to cancer in general, but there was some evidence that it could be related specifically to certain types of cancer.

Table 4 Summary of prospective studies of the association between circulating CRP and cancer.
Study [author, year] Study design Number of cancer cases Age No. (%) female Main aim of the study Main results relating to CRP Comments
Colorectal cancer
CLUE II, US [Erlinger, 2004] Case‐control, nested in CLUE II cohort Colorectal cancer: 172Controls: 342 Mean (SD):Cases 63.6 (11)Controls 63.4 (11) Cases: 95 (55.2)Controls: 189 (55.3) AetiologyTo assess the association between CRP and incident colorectal cancer. OR for colorectal cancer across quartiles of CRP (mg/l) [95% CI]:1st (<0.92): 1.002nd (0.92, 1.93): 1.16 [0.65, 2.09]3rd (1.94, 3.69): 1.42 [0.82, 2.46]4th (>3.69): 2.00 [1.16, 3.46]p for trend = 0.008 Up to 2 controls, matched for age, sex, race and date of blood sample, were selected from a community‐based cohort for each case.Further adjustment for age, sex, smoking status, BMI and use of hormones or NSAIDs.
Women's Health Study, US [Zhang, 2005] Cohort, nested in an RCT Colorectal cancer: 169 45+ at baseline 27 913 (100) AetiologyTo evaluate whether plasma CRP concentrations predict colorectal cancer. HR for colorectal cancer across categories of CRP, mg/l, [95% CI]:Crude<1 mg/l: 1.00 [ref.]1–3 mg/l: 0.89[0.62, 1.29]>3 mg/l: 0.80 [0.55, 1.15]p = 0.24Age‐adjusted:<1 mg/l: 1.00 [ref.] Participants recruited from a community‐based RCT.Adjusted for age, BMI, family history of colorectal cancer, physical activity, smoking, alcohol intake, menopausal status, use of aspirin, vitamin E, multivitamin, oral contraceptive or postmenopausal hormones.
1–3 mg/l: 0.77 [0.53, 1.11]
>3 mg/l: 0.67 [0.46, 0.97]
p = 0.05
Multivariate adjusted:
<1 mg/l: 1.00 [ref.]
1–3 mg/l: 0.79 [0.53, 1.17]
>3 mg/l: 0.66 [0.43, 1.03]
p = 0.09
Various locations, Japan [Ito, 2005] Case‐control nested in prospective cohort Colorectal cancer: 141Controls: 327 Range: 40–79 Cases: 78 (55.3)Controls: 179 (54.7) AetiologyTo investigate whether serum CRP is associated with colorectal cancer in the Japanese. Crude OR [95% CI] for incident colorectal cancer, by tertiles of CRP:1st: 1.0 (ref.)2nd: 0.93 [0.52, 1.65]3rd: 0.91 [0.50, 1.66]p for trend: 0.77 Study nested in a large community‐based multi‐centre cohort.Controls matched for age, sex and site.Adjusted for BMI, smoking and alcohol consumption.
Multivariable‐adjusted OR [95% CI] for incident colorectal cancer, by tertiles of CRP:
1st: 1.00 (ref.)
2nd: 1.05 [0.57, 1.94]
3rd: 0.97 [0.51, 1.83]
p for trend: 0.98
Alpha‐Tocopherol, Beta‐Carotene Cancer Prevention Study, Southwest Finland [Gunter, 2006] Prospective case‐control nested in an RCT Colorectal cancer: 130Controls: 260 Median (IQR):Colorectal cancer: 56 (53–61)Controls: 57 (53–59) 0 (0) AetiologyTo investigate the relationship between serum CRP and incident colorectal cancer and to examine whether any association differs by body size or cancer site. Age‐adjusted OR [95% CI] for incident colorectal cancer, by quartiles of CRP, mg/l:1st: 1.0 (ref.)2nd: 1.5 [0.8, 2.7]3rd: 1.0 [0.5, 1.9]4th: 2.0 [1.1, 3.7]p = 0.02Multivariable‐adjusted OR [95% CI] for incident colorectal cancer, by quartiles of CRP, mg/l: Study nested in an RCT where the participants were male smokers. Controls were matched on age, date of the baseline blood draw and intervention group (α‐tocopherol, β‐carotene, both or placebo).Further adjustment for age, BMI, aspirin use, smoking duration (years) and usual no. of cigarettes smoked per day.
1st: 1.0 (ref.)
2nd: 1.9 [1.0, 3.8]
3rd: 1.2 [0.6, 2.6]
4th: 2.9 [1.4, 6.0]
p = 0.006
Japan Public Health Center‐based Prospective Study (JPHC), various locations, Japan [Otani et al., 2006] Prospective case‐control nested in a cohort Colorectal cancer: 375Controls: 750 Mean: Colorectal cancer: 56.7Controls: 56.6 Colorectal cancer: 179 (47.7)Controls: 358 (47.7) AetiologyTo assess the association of circulating CRP and colorectal cancer risk in relation to tumour location and invasion. Multivariable‐adjusted OR [95% CI] for incident colorectal cancer, by quartiles of CRP, mg/l:1st: 1.0 (ref.)2nd: 1.5 [0.99, 2.2]3rd: 1.3 [0.85, 2.0]4th: 1.6 [1.1, 2.5]p for trend  = 0.053By cancer type, highest vs. lowest quartile of CRP: All participants selected from people with available blood samples, within a large community based cohort.Controls matched for age, sex, date of blood draw, time since last meal and study location.Further adjustment for smoking (pack‐years), alcohol consumption, exercise, and family history of colorectal cancer.
Colon (n = 244): 1.6 [0.99, 2.7]
p for trend = 0.041
Rectal (n = 111): 1.4 [0.63, 3.3]
p for trend  = 0.82
Colon, intramucosal (n = 94): 2.6 [1.1, 6.2]
p for trend  = 0.017
Colon, invasive (n = 146): 1.2 [0.64, 2.4]
p for trend  = 0.55
Prostate cancer
CLUE II, US [Platz, 2004] Case‐control study nested in CLUE II cohort Prostate cancer: 264Controls: 264 18+ 0 (0) AetiologyTo examine the association of CRP with prostate cancer. Geometric mean (SD) CRP (mg/l):Prostate cancer: 1.24 (2.94)Controls: 1.41 (2.97)p = 0.16Adjusted OR for prostate cancer across quartiles of CRP [95% CI]:1st: 12nd: 1.29 [0.80, 2.08]3rd: 0.98 [0.61, 1.58] Controls and cases selected from male participants of the CLUE II cohort who were Washington County residents. Controls matched on age, date of blood draw, race and time since last meal.Further adjustment for BMI, age at diagnosis and smoking history did not change the effect estimates.
4th: 0.95 [0.57, 1.58]
p for trend  = 0.66
Any cancer
The Women's Health Study, US [Rifai, 2002] Case‐control, nested in an RCT Any cancer: 513Controls: 513 Mean: 56.7 1026 (100) AetiologyTo examine predictive value of CRP for cancer and coronary heart disease in women. Crude RR for incident cancer across quartiles of baseline CRP (mg/l) [95% CI]:1st (<1.0): 1.02nd [1.0, 2.3):1.1 [0.8, 1.5]3rd (2.5–5.6):1.0 [0.7, 1.4]4th (⩾5.7):1.2 [0.9, 1.6]p for trend >0.2 Community controls, matched on age and smoking status.Further adjustment for BMI, hypertension, diabetes, hyperlipidemia, exercise, parental history of heart disease and random assignment to vitamin E, aspirin or both.High baseline CRP in cancer patients may be a result of an already begun cancerous process.
Baseline CRP was not associated with breast, ovarian or uterine, colon, lung, hematopoietic, thyroid, bladder, brain or pancreatic cancers, melanoma or other types of cancer (data not shown).
Health Aging and Body Composition study, Memphis, TN and Pittsburgh, PA, US [Il'yasova, 2005] Cohort Total participants: 2438Any incident cancers: 296 Median (IQR):Cases: 74 (71–76)Non‐cases: 73 (71–76) Cases: 55%Non‐cases: 51%Numbers not cited AetiologyTo analyse the association between circulating inflammatory markers and incident cancer in elderly people. HR [95% CI] for incident cancer events/log CRP (mg/l):Crude: 1.17 [1.02, 1.33]Adjusted: 1.25 [1.09, 1.43]HR [95% CI] for cancer events by type/log CRP (mg/l):Colorectal: 1.44 [1.03, 2.02]Lung: 1.64 [1.20, 2.24]Breast: 1.32 [0.91, 1.93]Prostate: 0.94 [0.70, 1.28]Estimates adjusted for age, gender, race and site. Participants recruited from Medicare beneficiaries.Exclusion criteria were very poor physical condition, life‐threatening disease or intent to leave the area in the subsequent 3 years.Adjustment for age, gender, race and site.Further adjustment for BMI, pack‐years of cigarettes smoked, physical activity, education, baseline medical conditions and medication used did not change the effect estimates (data not shown).
  Colorectal and lung cancer analyses were based on subgroups of 41 and 42 events, respectively.
European Prospective Investigation into Cancer and Nutrition cohort, Greece [Trichopoulos, 2006] Case‐control, nested in EPIC cohort Any cancer: 496Controls: 996 No. (%) participants:<55 years:Cancer: 153 930.8)Controls: 289 (29.0)⩾55 years:Cancer: 215 (43.3)Controls: 707 (71.0) Cancer cases: 253 (51.0)Controls: 512 (51.4) DiagnosisTo assess the association between CRP and subsequent risk of cancer and to determine whether CRP could be used to identify individuals at high risk at a sub‐clinical stage of the disease. Adjusted OR [95% CI] for incident cancer per 1 SD of log CRP:All cancers: 1.20 [1.10, 1.32]Cancers by site:Stomach: 1.10 [0.82, 1.47]Colon‐rectum: 1.17 [0.93, 1.46]Liver cancer: 1.51 [1.20, 1.90]Pancreas: 1.29 [0.89, 1.87]Lung: 1.31 [1.11, 1.53]Skin: 1.24 [0.95, 1.62]Kidney: 1.48 [1.11, 1.53]Bladder: 1.21 [0.91, 1.61]Brain: 1.00 [0.54, 1.85]Leukemia/lymphoma: 1.26 [1.05, 1.51] Community controls matched for age, sex and date of cohort enrolment. Cases were participants free of cancer at baseline.Adjustment for age, sex, BMI, smoking, alcohol and NSAID use and duration of storage of plasma samples.Some site specific OR estimates were based on small subgroups.Effect estimates strengthened somewhat with removal of cases occurring in the first year of follow‐up.
Breast (women): 1.16 [0.95, 1.41]
Cervix uteri: 1.31 [0.72, 2.35]
Corpus uteri: 1.34 [1.03, 1.74]
Ovary: 1.00 [0.67, 1.48]
Prostate: 0.74 [0.37, 1.47]
All cancers, stratified by smoking:
Never‐smokers: 1.17 [0.96, 1.42]
Ever‐smokers: 1.50 [1.22, 1.84]

Two studies found increased circulating CRP concentrations to be associated with an increased risk of any incident cancer, even after excluding the first year of follow‐up to avoid possible reverse causality,45 although this association seemed stronger with deaths from cancer than non‐fatal cancer events.64 However, a prospective case–control study found no association between CRP and incident cancer in general or any specific form of incident cancer.80 No association was reported in prospective studies between circulating CRP at baseline and the subsequent risk of prostate64,79 or breast64 cancers.

Evidence of an association between increased CRP and colorectal cancer is contradictory. In four prospective studies (nested in the Campaign Against Cancer and Heart Disease (CLUE II) cohort, α‐Tocopherol, β‐Carotene (ATBC) Trial, Health Aging and Body Composition Study and Japan Public Health Center‐based Prospective study), the investigators found increased CRP concentrations to be associated with incident colorectal cancer, although the analysis in one of these was based on only 41 cancer events.42,59,64,76 Results from two of these studies showed a more prominent association in colon cancer than in rectal cancer.59,76 However, one prospective study, with 169 cancer cases, found a borderline statistically significant association between higher CRP concentrations and a reduced risk of colorectal cancer in age‐adjusted multivariate models,89 and in another study with 141 cases,66 the researchers reported no association. Thus, overall, there is some evidence for a positive association between CRP and colorectal cancer.

A prospective cohort study and a prospective nested case–control study reported positive associations with incident cancer in general and incident lung cancer in particular.45,64 However, the findings for lung cancer in both these studies were based on small numbers of cancer events, 42 cancer events in the cohort study and 72 events in the case–control study. In the cohort study, the positive association remained with adjustment for pack‐years of cigarette smoking in multivariate analyses, but in the case–control study, stratified analysis showed little evidence for an association with any cancer among the participants who had never smoked.

Discussion

In general, patients with cancer have been shown to have higher CRP concentrations than healthy controls and participants with some benign diseases. However, too few studies provided appropriate analyses to assess the diagnostic value of circulating CRP in cancer. Moreover, most studies to date measured CRP in prevalent cancer cases, and it is therefore possible that any association between CRP and cancer reported in these studies reflects reverse causation, survival bias or confounding. Of the nine large prospective studies identified in this review, four studies reported no association between circulating CRP and breast, prostate and colorectal cancers, but five studies provided some evidence that CRP could be related to colorectal and lung cancers.

Although the results of prospective studies are less likely to be influenced by reverse causation or bias, these associations can be explained by confounding. Associations between CRP concentrations and cancer are likely to be confounded by socioeconomic and lifestyle factors, particularly smoking and body mass index.119,121 Although the prospective studies identified in this review did adjust for important confounding factors, residual confounding due to measurement error in these factors and poor modelling of their relationship with the outcome is possible.122 In particular, the strong relationship between tobacco smoking and lung cancer will make adequate adjustment for its confounding effect difficult.

One way to overcome the problem of adequate adjustment would be to examine the association of functional CRP gene variants with cancer. This approach uses the principles of Mendelian randomisation to exploit the random allocation of genes at birth.123,124 Therefore, the CRP gene variants will not be associated with socioeconomic or lifestyle factors, such as tobacco smoking, and examining the association of CRP gene polymorphisms with cancer would avoid any confounding from these factors. Although this approach has been used to determine the causal relationship of CRP with cardiovascular risk factors,125,126 we are unaware of its use with cancer outcomes. This could be partly due to the large numbers of cancer cases required for such studies in order to reach reasonable precision with binary outcomes.127

In conclusion, most of the studies attempting to evaluate the use of circulating CRP in the diagnosis of various cancers did not present relevant statistical analyses and most of the vast literature published on the association of circulating CRP with cancer has been based on studies of prevalent cancer cases, which cannot provide evidence for causality. The small number of prospective studies identified in this review did not provide strong evidence for a causal role of CRP in malignancy, although there was some evidence that CRP could be related to colorectal cancer in particular. Further prevalent studies in this area will not add to what is already known; more large prospective studies and studies examining the association of CRP functional genetic variants with cancer outcomes would be useful to determine the role of CRP in the aetiology of cancer.

What this paper adds

  • Most prevalent studies have reported higher C reactive protein (CRP) concentrations in patients with cancer than in healthy controls and participants with some benign conditions, but this can be due to reverse causality, survival bias or confounding.

  • The small number of prospective studies in this area provided no strong evidence for a causal role of CRP in cancer.

Policy implications

  • Few studies published so far provided relevant analyses to assess the diagnostic value of circulating C reactive protein (CRP) in cancer, and the results from the small number of prospective studies are conflicting.

  • Thus, currently, there is little evidence to support the use of CRP in the early diagnosis or aetiology of cancer.

Supplementary tables are available at http://jech.bmj.com/supplemental

Supplementary Material

[web only tables]

Acknowledgements

KH is funded by the Medical Research Council (MRC) PhD award.

Abbreviations

CRP - C reactive protein

IL - interleukin

Footnotes

Competing interests: None declared.

Supplementary tables are available at http://jech.bmj.com/supplemental

References

  • 1.Brull D J, Serrano N, Zito F.et al Human CRP gene polymorphism influences CRP levels: implications for the prediction and pathogenesis of coronary heart disease. Arterioscler Thromb Vasc Biol 2003232063–2069. [DOI] [PubMed] [Google Scholar]
  • 2.Greenfield J R, Samaras K, Jenkins A B.et al Obesity is an important determinant of baseline serum C‐reactive protein concentration in monozygotic twins, independent of genetic influences. Circulation 20041093022–3028. [DOI] [PubMed] [Google Scholar]
  • 3.Deichmann M, Benner A, Waldmann V.et al Interleukin‐6 and its surrogate C‐reactive protein are useful serum markers for monitoring metastasized malignant melanoma. J Exp Clin Cancer Res 200019301–307. [PubMed] [Google Scholar]
  • 4.Kallio R, Surcel H M, Bloigu A.et al C‐reactive protein, procalcitonin and interleukin‐8 in the primary diagnosis of infections in cancer patients. Eur J Cancer 200036889–894. [DOI] [PubMed] [Google Scholar]
  • 5.Kallio R, Bloigu A, Surcel H M.et al C‐reactive protein and erythrocyte sedimentation rate in differential diagnosis between infections and neoplastic fever in patients with solid tumours and lymphomas. Support Care Cancer 20019124–128. [DOI] [PubMed] [Google Scholar]
  • 6.Nozoe T, Korenaga D, Futatsugi M.et al Immunohistochemical expression of C‐reactive protein in squamous cell carcinoma of the esophagus—significance as a tumor marker. Cancer Lett 200319289–95. [DOI] [PubMed] [Google Scholar]
  • 7.Wieland A, Kerbl R, Berghold A.et al C‐reactive protein (CRP) as tumor marker in pediatric and adolescent patients with Hodgkin disease. Med Pediatr Oncol 20034121–25. [DOI] [PubMed] [Google Scholar]
  • 8.Basso D, Fabris C, Meani A.et al C reactive protein in pancreatic cancer and chronic pancreatitis. Ann Clin Res 198820414–416. [PubMed] [Google Scholar]
  • 9.O'Hanlon D M, Lynch J, Cormican M, Given H F. The acute phase response in breast carcinoma. Anticancer Res 2002221289–1293. [PubMed] [Google Scholar]
  • 10.Alexandrakis M G, Passam F H, Moschandrea I A.et al Levels of serum cytokines and acute phase proteins in patients with essential and cancer‐related thrombocytosis. Am J Clin Oncol 200326135–140. [DOI] [PubMed] [Google Scholar]
  • 11.Balkwill F, Mantovani A. Inflammation and cancer: back to Virchow? Lancet 2001357539–545. [DOI] [PubMed] [Google Scholar]
  • 12.Blann A D, Byrne G J, Baildam A D. Increased soluble intercellular adhesion molecule‐1, breast cancer and the acute phase response. Blood Coagul Fibrinolysis 200213165–168. [DOI] [PubMed] [Google Scholar]
  • 13.Jabs W J, Busse M, Kruger S.et al Expression of C‐reactive protein by renal cell carcinomas and unaffected surrounding renal tissue. Kidney Int 2005682103–2110. [DOI] [PubMed] [Google Scholar]
  • 14.O'Riordain M G, Falconer J S, Maingay J.et al Peripheral blood cells from weight‐losing cancer patients control the hepatic acute phase response by a primarily interleukin‐6 dependent mechanism. Int J Oncol 199915823–827. [DOI] [PubMed] [Google Scholar]
  • 15.Wigmore S J, Fearon K C, Sangster K.et al Cytokine regulation of constitutive production of interleukin‐8 and ‐6 by human pancreatic cancer cell lines and serum cytokine concentrations in patients with pancreatic cancer. Int J Oncol 200221881–886. [DOI] [PubMed] [Google Scholar]
  • 16.Coussens L M, Werb Z. Inflammation and cancer. Nature 2002420860–867. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Farrow B, Evers B M. Inflammation and the development of pancreatic cancer. Surg Oncol 200210153–169. [DOI] [PubMed] [Google Scholar]
  • 18.Philip M, Rowley D A, Schreiber H. Inflammation as a tumor promoter in cancer induction. Semin Cancer Biol 200414433–439. [DOI] [PubMed] [Google Scholar]
  • 19.Alexandrakis M G, Passam F H, Boula A.et al Relationship between circulating serum soluble interleukin‐6 receptor and the angiogenic cytokines basic fibroblast growth factor and vascular endothelial growth factor in multiple myeloma. Ann Hematol 20038219–23. [DOI] [PubMed] [Google Scholar]
  • 20.Alexandrakis M G, Passam F H, Sfiridaki A.et al Elevated serum concentration of hepatocyte growth factor in patients with multiple myeloma: correlation with markers of disease activity. Am J Hematol 200372229–233. [DOI] [PubMed] [Google Scholar]
  • 21.Alexandrakis M G, Passam F H, Ganotakis E S.et al The clinical and prognostic significance of erythrocyte sedimentation rate (ESR), serum interleukin‐6 (IL‐6) and acute phase protein levels in multiple myeloma. Clin Lab Haematol 20032541–46. [DOI] [PubMed] [Google Scholar]
  • 22.Alexandrakis M G, Passam F H, Sfiridaki A.et al Serum levels of leptin in multiple myeloma patients and its relation to angiogenic and inflammatory cytokines. Int J Biol Markers 20041952–57. [DOI] [PubMed] [Google Scholar]
  • 23.Alexandrakis M G, Passam F H, Sfiridaki K.et al Interleukin‐18 in multiple myeloma patients: serum levels in relation to response to treatment and survival. Leuk Res 200428259–266. [DOI] [PubMed] [Google Scholar]
  • 24.Alexandrakis M G, Passam F H, Dambaki C.et al The relation between bone marrow angiogenesis and the proliferation index Ki‐67 in multiple myeloma. J Clin Pathol 200457856–860. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Alexandrakis M G, Passam F H, Kyriakou D S.et al Serum level of interleukin‐16 in multiple myeloma patients and its relationship to disease activity. Am J Hematol 200475101–106. [DOI] [PubMed] [Google Scholar]
  • 26.Jamieson N B, Brown D J, Michael W A.et al Adiponectin and the systemic inflammatory response in weight‐losing patients with non‐small cell lung cancer. Cytokine 20042790–92. [DOI] [PubMed] [Google Scholar]
  • 27.Brown D J, McMillan D C, Milroy R. The correlation between fatigue, physical function, the systemic inflammatory response, and psychological distress in patients with advanced lung cancer. Cancer 2005103377–382. [DOI] [PubMed] [Google Scholar]
  • 28.McKeown D J, Brown D J, Kelly A.et al The relationship between circulating concentrations of C‐reactive protein, inflammatory cytokines and cytokine receptors in patients with non‐small‐cell lung cancer. Br J Cancer 2004911993–1995. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Sattar N, Scott H R, McMillan D C.et al Acute‐phase reactants and plasma trace element concentrations in non‐small cell lung cancer patients and controls. Nutr Cancer 199728308–312. [DOI] [PubMed] [Google Scholar]
  • 30.Talwar D, Ha T K, Scott H R.et al Effect of inflammation on measures of antioxidant status in patients with non‐small cell lung cancer. Am J Clin Nutr 1997661283–1285. [DOI] [PubMed] [Google Scholar]
  • 31.Zaloudik J, Lauerova L, Janakova L.et al Immunological parameters in patients treated with regional chemo‐immunotherapy for colorectal cancer metastases to the liver. Klin Onkol 19981143–48. [Google Scholar]
  • 32.Zaloudik J, Lauerova L, Janakova L.et al Significance of pre‐treatment immunological parameters in colorectal cancer patients with unresectable metastases to the liver. Hepatogastroenterology 199946220–227. [PubMed] [Google Scholar]
  • 33.Ong F, Kaiser U, Seelen P J.et al Serum neural cell adhesion molecule differentiates multiple myeloma from paraproteinemias due to other causes. Blood 199687712–716. [PubMed] [Google Scholar]
  • 34.Schaar C G, Kaiser U, Snijder S.et al Serum interleukin‐6 has no discriminatory role in paraproteinaemia nor a prognostic role in multiple myeloma. Br J Haematol 1999107132–138. [DOI] [PubMed] [Google Scholar]
  • 35.Kuvibidila S, Gauthier T, Warrier R P.et al Increased levels of serum transferrin receptor and serum transferrin receptor/log ferritin ratios in men with prostate cancer and the implications for body‐iron stores. J Lab Clin Med 2004144176–182. [DOI] [PubMed] [Google Scholar]
  • 36.Kuvibidila S, Rayford W. Correlation between serum prostate‐specific antigen and alpha‐1‐antitrypsin in men without and with prostate cancer. J Lab Clin Med 2006147174–181. [DOI] [PubMed] [Google Scholar]
  • 37.Helzlsouer K J, Erlinger T P, Platz E A. C‐reactive protein levels and subsequent cancer outcomes: results from a prospective cohort study. Eur J Cancer 200642704–707. [DOI] [PubMed] [Google Scholar]
  • 38.Sawa A, Koziol‐Montewka M, Gozdziuk K.et al Indices of immune activation after bronchial carcinoma surgery. Ann Univ Mariae Curie Sklodowska (Med) 200358161–166. [PubMed] [Google Scholar]
  • 39.Bien E, Balcerska A. Clinical significance of erythrocyte sedimentation rate, C‐reactive protein and serum lactate dehydrogenase levels in the diagnosis, prognosis and treatment monitoring of children suffering from cancer. Med Wieku Rozwoj 20048(Pt 2)1081–1089. [PubMed] [Google Scholar]
  • 40.Aleman M R, Santolaria F, Batista N.et al Leptin role in advanced lung cancer. A mediator of the acute phase response or a marker of the status of nutrition? Cytokine 20021921–26. [DOI] [PubMed] [Google Scholar]
  • 41.Caruso C, Lio D, Cavallone L.et al Aging, longevity, inflammation, and cancer. Ann NY Acad Sci 200410281–13. [DOI] [PubMed] [Google Scholar]
  • 42.Gunter M J, Stolzenberg‐Solomon R, Cross A J.et al A prospective study of serum C‐reactive protein and colorectal cancer risk in men. Cancer Res 2006662483–2487. [DOI] [PubMed] [Google Scholar]
  • 43.Wu C W, Lui W Y, Peng F K.et al Alterations of humoral immunity in patients with gastric cancer. Asian Pac J Allergy Immunol 198867–10. [PubMed] [Google Scholar]
  • 44.Tsavaris N, Kosmas C, Kopterides P.et al Retinol‐binding protein, acute phase reactants and Helicobacter pylori infection in patients with gastric adenocarcinoma. World J Gastroenterol 2005117174–7178. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Trichopoulos D, Psaltopoulou T, Orfanos P.et al Plasma C‐reactive protein and risk of cancer: a prospective study from Greece. Cancer Epidemiol Biomarkers Prev 200615381–384. [DOI] [PubMed] [Google Scholar]
  • 46.Tas F, Duranyildiz D, Argon A.et al Serum levels of leptin and proinflammatory cytokines in advanced‐stage non‐small cell lung cancer. Med Oncol 200522353–358. [DOI] [PubMed] [Google Scholar]
  • 47.Yanagawa H, Sone S, Takahashi Y.et al Serum levels of interleukin 6 in patients with lung cancer. Br J Cancer 1995711095–1098. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Padillo F J, Muntane J, Montero J L.et al Effect of internal biliary drainage on plasma levels of endotoxin, cytokines, and C‐reactive protein in patients with obstructive jaundice. World J Surg 2002261328–1332. [DOI] [PubMed] [Google Scholar]
  • 49.Lan A K, Luk H N, Goto S.et al Stress response to hepatectomy in patients with a healthy or a diseased liver. World J Surg 200327761–764. [DOI] [PubMed] [Google Scholar]
  • 50.Zaman K, Driscoll R, Hahn D.et al Monitoring multiple angiogenesis‐related molecules in the blood of cancer patients shows a correlation between VEGF‐A and MMP‐9 levels before treatment and divergent changes after surgical vs. conservative therapy. Int J Cancer 2006118755–764. [DOI] [PubMed] [Google Scholar]
  • 51.Åvall‐Lundqvist E, Blad E, Xiao L.et al Pretreatment serum levels of C‐reactive protein, alpha 1‐antitrypsin, haptoglobin, alpha 1‐acid glycoprotein and tissue polypeptide antigen in cervical carcinoma. Eur J Gynaecol Oncol 199112375–383. [PubMed] [Google Scholar]
  • 52.Åvall‐Lundqvist E, Sjovall K, Hansson L O.et al Peri‐ and postoperative changes in serum levels of four tumor markers and three acute phase reactants in benign and malignant gynecological diseases. Arch Gynecol Obstet 199225169–78. [DOI] [PubMed] [Google Scholar]
  • 53.Barber M D, Fearon K C, Ross J A. Relationship of serum levels of interleukin‐6, soluble interleukin‐6 receptor and tumour necrosis factor receptors to the acute‐phase protein response in advanced pancreatic cancer. Clin Sci (Lond) 19999683–87. [PubMed] [Google Scholar]
  • 54.Bohn H. Charakterisierung der schwangerschafts‐assoziirten glykoproteine als akute phase‐proteine. Arch Gynakol 197221354–72. [DOI] [PubMed] [Google Scholar]
  • 55.Castano Vidriales J L, Amores A C. Use of pleural fluid C‐reactive protein in laboratory diagnosis of pleural effusions. Eur J Med 19921201–207. [PubMed] [Google Scholar]
  • 56.Chierakul N, Kanitsap A, Chaiprasert A.et al A simple C‐reactive protein measurement for the differentiation between tuberculous and malignant pleural effusion. Respirology 2004966–69. [DOI] [PubMed] [Google Scholar]
  • 57.Doehn C, Fornara P, Kausch I.et al Value of acute‐phase proteins in the differential diagnosis of acute scrotum. Eur Urol 200139215–221. [DOI] [PubMed] [Google Scholar]
  • 58.Dubost J J, Ristori J M, Soubrier M.et al Acute phase proteins in monoclonal gammapathies. Pathol Biol (Paris) 199139769–773. [PubMed] [Google Scholar]
  • 59.Erlinger T P, Platz E A, Rifai N.et al C‐reactive protein and the risk of incident colorectal cancer. JAMA 2004291585–590. [DOI] [PubMed] [Google Scholar]
  • 60.Fabris C, Pirisi M, Soardo G.et al Value of serum C‐reactive protein measurement in the detection of hepatocellular carcinoma superimposed on liver cirrhosis. J Cancer Res Clin Oncol 1994120229–232. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Greco C, Ameglio F, Alvino S.et al Selection of patients with monoclonal gammopathy of undetermined significance is mandatory for a reliable use of interleukin‐6 and other nonspecific multiple myeloma serum markers. Acta Haematol 1994921–7. [DOI] [PubMed] [Google Scholar]
  • 62.Guillem P, Triboulet J P. Elevated serum levels of C‐reactive protein are indicative of a poor prognosis in patients with esophageal cancer. Dis Esophagus 200518146–150. [DOI] [PubMed] [Google Scholar]
  • 63.Hu R H, Lee P H, Yu S C. Secretion of acute‐phase proteins before and after hepatocellular carcinoma resection. J Formos Med Assoc 19999885–91. [PubMed] [Google Scholar]
  • 64.Il'yasova D, Colbert L H, Harris T B.et al Circulating levels of inflammatory markers and cancer risk in the health aging and body composition cohort. Cancer Epidemiol Biomarkers Prev 2005142413–2418. [DOI] [PubMed] [Google Scholar]
  • 65.Ilhan N, Ilhan N, Ilhan Y.et al C‐reactive protein, procalcitonin, interleukin‐6, vascular endothelial growth factor and oxidative metabolites in diagnosis of infection and staging in patients with gastric cancer. World J Gastroenterol 2004101115–1120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Ito Y, Suzuki K, Tamakoshi K.et al Colorectal cancer and serum C‐reactive protein levels: a case‐control study nested in the JACC Study. J Epidemiol 200515(Suppl 2)S185–S189. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Kreienberg R, Koehler P, Kasemeyer R.et al Clinical utility of different tumor markers in breast cancer and gynecological malignancies. Cancer Detect Prev 19836221–225. [PubMed] [Google Scholar]
  • 68.Kuku I, Bayraktar M R, Kaya E.et al Serum proinflammatory mediators at different periods of therapy in patients with multiple myeloma. Mediators Inflamm 20052005171–174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Lehrer S, Diamond E J, Mamkine B.et al C‐reactive protein is significantly associated with prostate‐specific antigen and metastatic disease in prostate cancer. BJU Int 200595961–962. [DOI] [PubMed] [Google Scholar]
  • 70.Lin Z Y, Wang L Y, Yu M L.et al Role of serum C‐reactive protein as a marker of hepatocellular carcinoma in patients with cirrhosis. J Gastroenterol Hepatol 200015417–421. [DOI] [PubMed] [Google Scholar]
  • 71.Mantovani G, Maccio A, Madeddu C.et al Antioxidant agents are effective in inducing lymphocyte progression through cell cycle in advanced cancer patients: assessment of the most important laboratory indexes of cachexia and oxidative stress. J Mol Med 200381664–673. [DOI] [PubMed] [Google Scholar]
  • 72.McArdle P A, McMillan D C, Sattar N.et al The relationship between interleukin‐6 and C‐reactive protein in patients with benign and malignant prostate disease. Br J Cancer 2004911755–1757. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.McMillan D C, Sattar N, Talwar D.et al Changes in micronutrient concentrations following anti‐inflammatory treatment in patients with gastrointestinal cancer. Nutrition 200016425–428. [DOI] [PubMed] [Google Scholar]
  • 74.McMillan D C, Talwar D, Sattar N.et al The relationship between reduced vitamin antioxidant concentrations and the systemic inflammatory response in patients with common solid tumours. Clin Nutr 200221161–164. [DOI] [PubMed] [Google Scholar]
  • 75.Nikiteas N I, Tzanakis N, Gazouli M.et al Serum IL‐6, TNF alpha and CRP levels in Greek colorectal cancer patients: prognostic implications. World J Gastroenterol 2005111639–1643. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Otani T, Iwasaki M, Sasazuki S.et al Plasma C‐reactive protein and risk of colorectal cancer in a nested case‐control study: Japan Public Health Center‐based prospective study. Cancer Epidemiol Biomarkers Prev 200615690–695. [DOI] [PubMed] [Google Scholar]
  • 77.Pavlidis A N, Kalef‐Ezra J, Bourantas L C.et al Serum tumor markers in non‐Hodgkin's lymphomas and chronic lymphocytic leukemia. Int J Biol Markers 1993814–20. [DOI] [PubMed] [Google Scholar]
  • 78.Pepys M B, Dash A C, Markham R E.et al Comparative clinical study of protein SAP (amyloid P component) and C‐reactive protein in serum. Clin Exp Immunol 197832119–124. [PMC free article] [PubMed] [Google Scholar]
  • 79.Platz E A, De Marzo A M, Erlinger T P.et al No association between pre‐diagnostic plasma C‐reactive protein concentration and subsequent prostate cancer. Prostate 200459393–400. [DOI] [PubMed] [Google Scholar]
  • 80.Rifai N, Buring J E, Lee I M.et al Is C‐reactive protein specific for vascular disease in women? Ann Intern Med 2002136529–533. [DOI] [PubMed] [Google Scholar]
  • 81.Robertson J F, Pearson D, Price M R.et al Prospective assessment of the role of five tumour markers in breast cancer. Cancer Immunol Immunother 199133403–410. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Timonen T T, Koistinen P. C‐reactive protein for detection and follow‐up of bacterial and fungal infections in severely neutropenic patients with acute leukaemia. Eur J Cancer Clin Oncol 198521557–562. [DOI] [PubMed] [Google Scholar]
  • 83.van der Zee A G, de Cuyper E M, Limburg P C.et al Higher levels of interleukin‐6 in cystic fluids from patients with malignant versus benign ovarian tumors correlate with decreased hemoglobin levels and increased platelet counts. Cancer 1995751004–1009. [DOI] [PubMed] [Google Scholar]
  • 84.Wardman A G, Bowen M, Struthers L P.et al The diagnosis of pleural effusions—are cancer markers clinically helpful? Med Pediatr Oncol 19841268–72. [DOI] [PubMed] [Google Scholar]
  • 85.Weiss J F, Morantz R A, Bradley W P.et al Serum acute‐phase proteins and immunoglobulins in patients with gliomas. Cancer Res 197939(Pt 1)542–544. [PubMed] [Google Scholar]
  • 86.Yamashita J I, Shirakusa T, Fujine N.et al Elevations of serum C‐reactive protein occur independently of circulating interleukin 6 concentrations in patients with lung cancer. Oncol Rep 19952215–219. [DOI] [PubMed] [Google Scholar]
  • 87.Yildirim B, Sari R, Isci N. Patients with spontaneous bacterial peritonitis, and malignant and cirrhotic ascites. J Natl Med Assoc 200597276–280. [PMC free article] [PubMed] [Google Scholar]
  • 88.Zbroja‐Sontag W. Defense proteins and immune complexes in the blood serum of women with inflammatory and neoplastic lesions of the ovary. Am J Reprod Immunol 1983411–20. [DOI] [PubMed] [Google Scholar]
  • 89.Zhang S M, Buring J E, Lee I M.et al C‐reactive protein levels are not associated with increased risk for colorectal cancer in women. Ann Intern Med 2005142425–432. [DOI] [PubMed] [Google Scholar]
  • 90.Alexandrakis M G, Passam F H, Perisinakis K.et al Serum proinflammatory cytokines and its relationship to clinical parameters in lung cancer patients with reactive thrombocytosis. Respir Med 200296553–558. [DOI] [PubMed] [Google Scholar]
  • 91.Alexandrakis M G, Moschandrea J A, Koulocheri S A.et al Discrimination between malignant and nonmalignant ascites using serum and ascitic fluid proteins in a multivariate analysis model. Dig Dis Sci 200045500–508. [DOI] [PubMed] [Google Scholar]
  • 92.Spicka I, Cieslar P, Prochazka B.et al Prognostic factors and markers of activity in multiple myeloma (results of the Cooperative Group for DIagnosis and Treatment of Multiple Myeloma). Casopis Lekaru Ceskych 2000139208–212. [PubMed] [Google Scholar]
  • 93.Almushatat A S, Talwar D, McArdle P A.et al Vitamin antioxidants, lipid peroxidation and the systemic inflammatory response in patients with prostate cancer. Int J Cancer 20061181051–1053. [DOI] [PubMed] [Google Scholar]
  • 94.Staal‐van den Brekel A J, Dentener M A, Drent M.et al The enhanced inflammatory response in non‐small cell lung carcinoma is not reflected in the alveolar compartment. Respir Med 19989276–83. [DOI] [PubMed] [Google Scholar]
  • 95.Brichory F M, Misek D E, Yim A M.et al An immune response manifested by the common occurrence of annexins I and II autoantibodies and high circulating levels of IL‐6 in lung cancer. Proc Natl Acad Sci USA 2001989824–9829. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Chen Z, Malhotra P S, Thomas G R.et al Expression of proinflammatory and proangiogenic cytokines in patients with head and neck cancer. Clin Cancer Res 199951369–1379. [PubMed] [Google Scholar]
  • 97.Chou P H, Chen S H, Liao H K.et al Nanoprobe‐based affinity mass spectrometry for selected protein profiling in human plasma. Anal Chem 2005775990–5997. [DOI] [PubMed] [Google Scholar]
  • 98.DeJong C H, Busquets S, Moses A G.et al Systemic inflammation correlates with increased expression of skeletal muscle ubiquitin but not uncoupling proteins in cancer cachexia. Oncol Rep 200514257–263. [PubMed] [Google Scholar]
  • 99.Fearon K C, McMillan D C, Preston T.et al Elevated circulating interleukin‐6 is associated with an acute‐phase response but reduced fixed hepatic protein synthesis in patients with cancer. Ann Surg 199121326–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Crown A L, Cottle K, Lightman S L.et al What is the role of the insulin‐like growth factor system in the pathophysiology of cancer cachexia, and how is it regulated? Clin Endocrinol (Oxford) 200256723–733. [DOI] [PubMed] [Google Scholar]
  • 101.Flaschka G, Marth E, Desoye G.et al Diagnostische wertigkeit biokemischer tumormarker bei hirntumoren literaturubersicht und eigene erfahrungen mit serumanalysen von sialinsaure (nana), carcinoembryonalem antigen (cea) und neuron‐spezifischer enolase (NSE). Zentralbl Neurochir 199051129–137. [PubMed] [Google Scholar]
  • 102.Fukuma H, Morshed S A, Watanabe S.et al Increased expression of cytokines in liver and serum in patients with extrahepatic diseases. J Gastroenterol 199631538–545. [DOI] [PubMed] [Google Scholar]
  • 103.Gallo O, Gori A M, Attanasio M.et al Interleukin‐6 and acute‐phase proteins in head and neck cancer. Eur Arch Otorhinolaryngol 1995252159–162. [DOI] [PubMed] [Google Scholar]
  • 104.Gao W M, Kuick R, Orchekowski R P.et al Distinctive serum protein profiles involving abundant proteins in lung cancer patients based upon antibody microarray analysis. BMC Cancer 20055110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Georgiannos S N, Weston P M, Goode A W. Micronutrients in gastrointestinal cancer. Br J Cancer 1993681195–1198. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Karter Y, Uzun H, Tunckale A.et al Interrelation of cytokines and their association with acute phase proteins in Hodgkin's disease and in rheumatoid arthritis. Int Rev Allergol Clin Immunol 2002825–28. [Google Scholar]
  • 107.Kestens L, Melbye M, Biggar R J.et al Endemic African Kaposi's sarcoma is not associated with immunodeficiency. Int J Cancer 19853649–54. [DOI] [PubMed] [Google Scholar]
  • 108.Lauerova L, Dusek L, Simickova M.et al Renal cell carcinoma‐associated immune impairment that may interfere with the response to cytokine therapy. Neoplasma 199946141–149. [PubMed] [Google Scholar]
  • 109.Maccio A, Lai P, Santona M C.et al High serum levels of soluble IL‐2 receptor, cytokines, and C reactive protein correlate with impairment of T cell response in patients with advanced epithelial ovarian cancer. Gynecol Oncol 199869248–252. [DOI] [PubMed] [Google Scholar]
  • 110.Maccio A, Madeddu C, Massa D.et al Hemoglobin levels correlate with interleukin‐6 levels in patients with advanced untreated epithelial ovarian cancer: role of inflammation in cancer‐related anemia. Blood 2005106362–367. [DOI] [PubMed] [Google Scholar]
  • 111.Nuver J, Smit A J, Sleijfer D T.et al Microalbuminuria, decreased fibrinolysis, and inflammation as early signs of atherosclerosis in long‐term survivors of disseminated testicular cancer. Eur J Cancer 200440701–706. [DOI] [PubMed] [Google Scholar]
  • 112.Orchekowski R, Hamelinck D, Li L.et al Antibody microarray profiling reveals individual and combined serum proteins associated with pancreatic cancer. Cancer Res 20056511193–11202. [DOI] [PubMed] [Google Scholar]
  • 113.Pidcock N B, Cooper E H, el‐Aaser A A.et al Immunoglobulin A, G and E levels in Egyptians with cancer: influence of schistosomiasis. Int J Cancer 198433771–775. [DOI] [PubMed] [Google Scholar]
  • 114.Mantovani G, Maccio A, Madeddu C.et al Quantitative evaluation of oxidative stress, chronic inflammatory indices and leptin in cancer patients: correlation with stage and performance status. Int J Cancer 20029884–91. [DOI] [PubMed] [Google Scholar]
  • 115.Scott H R, McMillan D C, Watson W S.et al Longitudinal study of resting energy expenditure, body cell mass and the inflammatory response in male patients with non‐small cell lung cancer. Lung Cancer 200132307–312. [DOI] [PubMed] [Google Scholar]
  • 116.Wallace A M, Kelly A, Sattar N.et al Circulating concentrations of “free” leptin in relation to fat mass and appetite in gastrointestinal cancer patients. Nutr Cancer 200244157–160. [DOI] [PubMed] [Google Scholar]
  • 117.Yagci M, Sucak G T, Haznedar R. Fibrinolytic activity in multiple myeloma. Am J Hematol 200374231–237. [DOI] [PubMed] [Google Scholar]
  • 118.Drahovsky D, Dunzendorfer U, Ziegenhagen G.et al Reevaluation of C‐reactive protein in cancer sera by radioimmunoassay and radial immunodiffusion. Oncology 198138286–291. [DOI] [PubMed] [Google Scholar]
  • 119.Lawlor D A, Smith G D, Rumley A.et al Associations of fibrinogen and C‐reactive protein with prevalent and incident coronary heart disease are attenuated by adjustment for confounding factors. British Women's Heart and Health Study. Thromb Haemost 200593955–963. [DOI] [PubMed] [Google Scholar]
  • 120.Ohsawa M, Okayama A, Nakamura M.et al CRP levels are elevated in smokers but unrelated to the number of cigarettes and are decreased by long‐term smoking cessation in male smokers. Prev Med 200541651–656. [DOI] [PubMed] [Google Scholar]
  • 121.Ford E S. Asthma, body mass index, and C‐reactive protein among US adults. J Asthma 200340733–739. [DOI] [PubMed] [Google Scholar]
  • 122.Phillips A N, Davey Smith G. Bias in relative odds estimation owing to imprecise measurement of correlated exposures. Stat Med 199211953–961. [DOI] [PubMed] [Google Scholar]
  • 123.Davey Smith G, Ebrahim S. ‘Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease? Int J Epidemiol 2003321–22. [DOI] [PubMed] [Google Scholar]
  • 124.Davey Smith G, Ebrahim S. What can mendelian randomisation tell us about modifiable behavioural and environmental exposures? BMJ 20053301076–1079. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Timpson N J, Lawlor D A, Harbord R M.et al C‐reactive protein and its role in metabolic syndrome: mendelian randomisation study. Lancet 20053661954–1959. [DOI] [PubMed] [Google Scholar]
  • 126.Davey Smith G, Lawlor D A, Harbord R.et al Association of C‐reactive protein with blood pressure and hypertension: life course confounding and mendelian randomization tests of causality. Arterioscler Thromb Vasc Biol 2005251051–1056. [DOI] [PubMed] [Google Scholar]
  • 127.Davey Smith G, Harbord R, Ebrahim S. Fibrinogen, C‐reactive protein and coronary heart disease: does Mendelian randomization suggest the associations are non‐causal? QJM 200497163–166. [DOI] [PubMed] [Google Scholar]

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supp_61_9_824__2.pdf (227KB, pdf)

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